AI engineer in freight forwarding

Nexcade

Greater London

On-site

GBP 90,000 - 150,000

Full time

32 hours ago
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Benefits offered by this job

Equity

Job summary

Nexcade разрабатывает инструменты на базе искусственного интеллекта для людей в глобальной цепочке поставок. Мы стартуем в сфере перевозок грузов, оборот компании — миллионы долларов в неделю, и расширяем платформу вдоль жизненного цикла от отправки до получения.

Ваша роль — строить продукты вместе с командами клиентов на стеке Python, TypeScript и React, работать с основателями и бизнес-пользователями, чтобы любое решение становилось выбором клиентов.

Qualifications

  • Гипотеза подтверждена: отсутствие явных требований к образованию или опыт работы в данном тексте; фокус на способности решать реальные задачи и обладать высоким уровнем автономии.
  • Кандидат должен проявлять техническое рассуждение, иметь опыт запуска productie систем и готовность учиться.
  • Интерес к проблеме и умение работать с реальными messy операциями без freight-опыта обязательно.

Responsibilities

  • Разрабатывать продукты в области фрахтовки вместе с командами клиентов на всем цикле отправления.
  • Работать со стэком Python, TypeScript и React, напрямую с клиентами и основателями.
  • Проектировать продукты с упором на производительность, надёжность, объяснимость и контроль.
  • Создавать инфраструктуру для многопоточных агентов и рабочих процессов.
  • Обеспечивать скорость движения команды за счёт наблюдаемости и прозрачности.

Job description

Описание

People assume the supply chain is an automated, algorithmic system. It is not. It is a large number of people acting as the glue between organisations and systems, doing work the world depends on with tools that have barely changed in decades. Nexcade builds AI agents for those people, starting in freight forwarding, a $210BN industry. Our agents are live in production with some of the leading global forwarders, pricing millions in freight every week, and we are expanding the platform deeper into the shipment lifecycle.

Задачи

You will build products that do freight forwarding work alongside our customers' teams, operating across the entire shipment lifecycle. You will work across the stack in Python, TypeScript and React, and directly with customers and founders on what gets built. You build best in class products for the core jobs in freight forwarding, one job at a time. You work as a design partner with our customers to understand the work deeply, turn that understanding into a product they would choose over anything else, and feed what you learn back into the platform everyone builds on. You raise the ceiling on what our AI can do and the floor on how reliably it does it. That spans high volume tasks like classification and extraction and deep workflow tasks that run for hours. You design for performance, reliability, explainability and control, set up the gyms and evals to measure them, and build the harness that runs our agents in all of our products. You own the foundation every product stands on: the runtime for thousands of concurrent agents and workflows, the way they communicate and scale, the controls for how they access data with permissions that hold, and the observability to see and measure all of it. You ensure the rest of the team can move fast without fear.

Требования

A spike, with evidence. Something you have been exceptional at and proof of it. Strong fundamentals. In the AI-assisted era, having good technical judgement is key. You have shipped production systems people depend on, seen them fail and learned from it. High agency and ownership. You take an ambiguous problem, make a call, and see it through. Humility and learning velocity. You want to get better and you change your mind when the evidence says so. Interest in the problem. You do not need a freight background, but you need to find messy real-world operations interesting rather than a chore.

Условия

In person, 4+ days a week in London. We value synchronous communication. You will shape the product, the architecture and the company, working alongside an engineering team from Palantir, Raft, Faculty, UnlikelyAI and Oxford. You will work directly with the businesses using what you build, on AI applied to an industry that has resisted software for decades. You will get meaningful equity, so when this works you share in it.

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